Abstract Machine learning (ML) can make use of agricultural data related to crop yield under
varying soil nutrient levels, and climatic fluctuations to suggest appropriate crops or …

In this fast-growing overpopulated world, people are facing food insecurity problem. To feed
an enormous amount of people agriculture is straining natural resources. Rice is the main …

Rice leaf disease detection is critical for the agriculture sector since rice feeds approximately
half of the world's population. Many researchers worked on this subject, and their results …

This work proposes a smart crop growth monitoring system that contains an adaptive
cryptography engine to ensure the security of sensor data and an edge artificial intelligence …

Rice, a nutritious grain belonging to the Orza family, is a staple food for more than three
billion people worldwide. Early detection of rice leaf disease is critical for maintaining …

India is an agriculture-based country, with paddy being the main crop cultivated on nearly
half of its agricultural lands. Paddy cultivation faces numerous challenges, particularly …

The significant task of image processing in the domain of plant disease is to detect the
diseases in plants as the data utilized for input is complex in nature. If the diseases are not …